Instructions to use ShehbazPatel/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShehbazPatel/mistral-finetuned-samsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "ShehbazPatel/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
mistral-finetuned-samsum / runs /Jul21_22-55-17_3689a5c35cf2 /events.out.tfevents.1721602719.3689a5c35cf2.1049.0
- Xet hash:
- 5f10084e774acd83ab36cefef0042db2795766a740e3ea50a33ef49574c1592f
- Size of remote file:
- 4.18 kB
- SHA256:
- e81c12f7dc9e4917fbf3eae05d2b51d2f35f2a86f1aa69eef7e3c0822108631e
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